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Table 3 Logistic regression coefficients for the risk model built with the datasets from different cities

From: A data-driven approach for assessing biking safety in cities

Variable London Boston Pittsburgh
(Intercept) 4.372 4.840 2.979
speed-limit 11.071 6.228 12.332
Street width 8.937 3.827 6.382
betweenness 5.093 4.827 3.082
dist-intersect −6.978 −4.280 −3.829
(hilliness) hilly 7.832 7.374 10.736
(topology) curved 12.932 6.482 3.278
(bikelane) with −14.891 −18.349 −11.272
Interaction terms    
speed-limit. betweenness 11.742 4.729 3.952
speed-limit. (bikelane) with −21.922 −23.749 −23.739
speed-limit. dist-intersect 4.281 4.839 3.398
  1. p<0.01, p<0.01, p<0.05.